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--- public:notes_on_research_methodology_spring_2012 [2012/02/06 11:29] – created thorisson
+++ public:notes_on_research_methodology_spring_2012 [2024/04/29 13:33] (current) – external edit 127.0.0.1
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-===Types of Experimental Designs: Concepts===
+====Types of Experimental Designs: Concepts====
 | Experimental design  | "A planned interference in the natural order of events."  |
 | Subject(s)  | Means the subject under study, which can be people, technology and natural phenomena  |
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-====Controled Experiment====
+===Controlled Experiment===
 | What it is   | A fairly recent research method, historically speaking, for testing hypotheses / theories  |
 | When to use  | When it is possible to control and select everything of importance to the subject of study  |
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-====Steps in Research Execution====
+===Steps in Research Execution===
 | Identify the phenomenon to study  | Characterize it in ways that make it easy to study.  |
 | Ask the right question(s)  | "A question well asked is a question half-answered."  |
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-====Correlational Studies & Quasi-Experimental Design====
+===Correlational Studies & Quasi-Experimental Design===
 | Correlation  | Some factors/variables co-vary when changes in one variable are related with changes in the other, negative or positive  |
 | Correlation: Powerful tool  | Any variables in the world can be measured for correlation. Only two variables are needed (independent and dependent) for doing correlation studies  |
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-====Field Studies====
+===Field Studies===
 | What is it?  | Quasi-experimental design. To study a phenomeon "in the wild".  |
 | When  | When a controlled experimental setup is not possible.  |
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-====Pilots====
+===Pilots===
 | What is it?  | A more loose, pre-study using the intended experimental design to tune it  \\ A pre-study intended to gauge the nature, scales or other factors of the variables to be measured, or the subject to be measured  |
 | Why and when  | Pilots are much more useful than you might think. Yes, it will increase the duration and effort of your experiment BUT: It can significantly improve the quality of the subsequent experiment in many cases. It will certainly clarify and sharpen the experimenter's understanding of one or more of: the experiment, experimental procedure, variables and subjects.  |
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-===Overview===
+====True Experimental Design: Overview====
 | True Experimental Designs: Procedure  |
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-=== t-test ===
+== t-test ==
 | A fairly robust test for simple comparison experiments  | Assumptions about population means and distributions can be violated without too much trouble.  |
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-=== Using Models to Validate and Measure - a.k.a. Simulation ===
+== Using Models to Validate and Measure - a.k.a. Simulation ==
 | What simulation is  | A simplified model of subject under study.  \\ Sometimes only the environment is simulated.  |
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-=== Levels of System Knowledge in Simulation ===
+== Levels of System Knowledge in Simulation ==
 | 0 Source Level  | What variables to measure and how to observe them  |
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-=== Using Engineering Models to Validate and Measure: The Model Human Processor ===
+== Using Engineering Models to Validate and Measure: The Model Human Processor ==
 | Card, Moran & Newell  | 1983, 1986  |